MCP Memory Server

# Global Development Standards ## Code Quality Standards ### General Principles - Write code that is readable, maintainable, and testable - Follow SOLID principles and clean architecture patterns - Use consistent naming conventions across all projects - Document complex business logic and architectural decisions ### Version Control - Use conventional commits for clear change history - Feature branches with descriptive names - Pull request reviews required for all changes - Keep commits small and focused on single changes ### Testing Requirements - Unit tests for all business logic (minimum 80% coverage) - Integration tests for API endpoints - End-to-end tests for critical user journeys - Performance tests for high-traffic components ## Documentation Standards ### Code Documentation - Self-documenting code with clear variable/function names - Comments for complex algorithms and business rules - API documentation with examples and use cases - Architecture decision records (ADRs) for significant changes ### Project Documentation - README with setup instructions and development guide - Contributing guidelines for new team members - Deployment procedures and environment configuration - Troubleshooting guides for common issues ## Security Guidelines ### Authentication & Authorization - Multi-factor authentication for production access - Role-based access control (RBAC) implementation - Regular access reviews and privilege cleanup - Session management and timeout policies ### Data Protection - Encryption at rest and in transit - PII data handling and anonymization procedures - Regular security audits and vulnerability scanning - Incident response procedures for security breaches ## Performance Standards ### Response Time Requirements - API endpoints: < 200ms for 95% of requests - Page load times: < 2 seconds for initial load - Database queries: < 100ms for simple operations - Background jobs: Complete within allocated time windows ### Scalability Considerations - Horizontal scaling capability for all services - Database connection pooling and optimization - Caching strategies for frequently accessed data - Load testing for expected traffic patterns